If an investor asks how your app is deployed, "Cursor helped build it" is neither a problem nor an answer. They need to know what runs in production, which services it depends on, who can deploy a change and what breaks when an external API fails.
Do not make a fake "investor-ready" binder. Build a handoff that a technical reviewer can test. The exact documents and depth depend on the stage, deal and product. The checklist below is a starting point, not a claim that every investor asks for these five files.
Start with a map of the live system
Write one page describing the buyer/user flow from browser to API to database and external services. Draw boxes only for components that actually exist. For each arrow, state the data it carries and who controls access. Put staging and production on separate lines.
Google Cloud's architecture framework stresses that useful documentation reflects the current deployment and is maintained as the system changes. A diagram without owner, source or update date is worse than a short accurate list.
| Question | Evidence to record |
|---|---|
| What is live today? | URL, deployment environment, release/commit and owner |
| Where does customer data go? | Database and processor names, region if known, retention and access owners |
| What happens when a dependency fails? | Observed behavior, alert path and recovery steps |
| Who can change production? | Roles, approvals, branch/deployment settings |
| What is untested? | Explicit limitations, issue IDs and plans, not a "secure" badge |
If you do not know one of these answers, write "unknown" and assign a check. Do not fill it with what the framework or AI tool usually does.
Make the repository runnable by someone else
A README should identify the supported runtime, installation command, environment variable names (not values), local data setup, test command and deployment route. Include a .env.example made of placeholders only. A reviewer should be able to follow it on a fresh checkout, but do not promise a universal ten-minute setup. Time a real dry run and record the friction.
Use a separate inventory of third-party systems: provider, purpose, data shared, billing owner and what happens if access is revoked. This is especially important for payments, identity, LLM APIs, email and storage. Keep current links to vendor terms and actual contracts in the private diligence room, not invented summaries on a public page.
Show security evidence rather than assurances
List authentication and authorization boundaries, secret storage, logging access, backup status, and how you detect and respond to incidents. OWASP's Application Security Verification Standard is a useful source of test categories, not a certificate you get by mentioning it.
If a token ever entered Git history, removing it from the current file is not enough: treat it as exposed, rotate it and investigate access before declaring it resolved. Keep live keys out of the data room and screenshots. For sensitive issues, share a scoped summary and give an authorized reviewer controlled access to the evidence.
Be precise about tests. "We run an automated scanner" means you have an automated scanner, not that the app is secure. Name the date, scope and unresolved findings of any review. If a consultant has not reviewed it, do not imply that one has.
Keep an honest issue and change log
List open defects, affected users, severity, workaround and owner. Include dependencies you have not measured yet, like an API rate limit or the recovery time for a failed deployment. An investor may ask how large the risk is; "we haven't tested it" is a defensible answer when true.
Small changes with recorded results build confidence. The Google Cloud framework recommends a process for regularly delivering small changes and learning from them. Link to real test or deployment evidence where appropriate. Do not fabricate traffic, uptime, customer counts or valuation effects.
Walk the reviewer through one release
Ask a developer who has not seen the repo to clone it with only the documented setup, run the tests and explain how a commit gets to staging and production. Watch where the instructions fail. Then demonstrate how you would recover a failed release without relying on one person's memory. Save the revised instructions, not just the meeting recording.
Prepare a short live Q&A: Which customer data is processed? What is the most fragile dependency? What would you fix with the next engineering hire? A specific answer backed by a link or reproducible step is stronger than a broad claim about being "scalable."
Decide access before sending anything
A private codebase, customer record, vulnerability report or contract should not become accessible to everyone with a forwarded diligence link. Agree on the recipient, access period and scope with your team. Redact secrets and unnecessary personal data. Your architecture overview may be safe to share more widely than the raw security findings.
If you need a starting point, our
can help structure a draft, and our code handoff service can help turn real repository evidence into a transfer package. Verify both against the actual app; neither creates missing evidence.Sources checked September 2026: Google Cloud Well-Architected Framework, OWASP ASVS. This is technical preparation, not legal or investment advice; an investor's actual diligence request controls what is needed.